Twitter aims to deliver you the best of what’s happening in the world right now. This blog is an introduction to how the algorithm selects Tweets for your timeline.

Twitter Engineering

Twitter's recommendation algorithm selects the top tweets for the For You timeline by using core models and features to extract latent information from tweet, user, and engagement data. The recommendation pipeline consists of candidate sources, real graph ranking, engagements analysis, embedding space approaches, and scoring with a neural network. The goal is to deliver relevant and diverse tweets to users.

Twitter's Recommendation Algorithm

Heuristics, Filters, and Product Features